Skydio

Skydio is seeking an Autonomy Engineer Intern to focus on deep learning for computational photography in autonomous drones. The role involves designing, training, and deploying optimized models for real-time applications on embedded hardware, as well as for cloud deployment. Responsibilities include leveraging real-world and synthetic data, foundation models, and developing evaluation benchmarks.

Skydio is seeking an Autonomy Engineer - Deep Learning to train and deploy optimized deep learning models for their autonomous flight systems. The role involves designing, implementing, and deploying computer vision and multimodal deep learning models, leveraging real-world and synthetic data, and optimizing models for low-latency embedded hardware. The position requires an MS or PhD, hands-on experience with deep learning model deployment, and strong coding skills in Python/PyTorch and C++.

Senior Autonomy Engineer focused on designing, implementing, and optimizing deep learning models for real-time object detection, tracking, segmentation, and optical flow estimation on Skydio drones. The role involves leveraging state-of-the-art methods, curating synthetic and real-world data, and refining models for low-latency embedded hardware, with a strong emphasis on computer vision and robotics.

Skydio is seeking an Autonomy Engineer - Deep Learning to train and deploy optimized deep learning models for their autonomous flight systems. The role involves designing, implementing, and deploying computer vision and multimodal models, leveraging real-world and synthetic data, and optimizing models for embedded hardware. The ideal candidate has a strong background in deep learning, computer vision, and experience deploying models to production.

Senior Autonomy Engineer focused on designing, implementing, and optimizing deep learning solutions for real-time object detection, tracking, segmentation, and optical flow estimation on drones. The role involves leveraging state-of-the-art methods like unsupervised learning and foundational models, curating synthetic data, and refining models for low-latency embedded hardware, with a strong emphasis on computer vision and robotics applications.

PhD intern role focused on developing and deploying reinforcement learning policies for autonomous drone planning, navigation, and control in complex environments. Involves research in sim-to-real transfer, human-in-the-loop control, and multi-agent coordination, with a strong emphasis on real-world flight testing.

ML/DL Infrastructure Engineer responsible for building and scaling the infrastructure supporting AI/ML training efforts, including data pipelines, annotation workflows, and training optimization, with a focus on autonomous flight systems for drones.

The role focuses on designing, implementing, and deploying deep learning models for autonomous flight systems, with a specific emphasis on computational photography applications. It involves training and optimizing models for both embedded hardware and cloud deployment, using real-world and synthetic data, and developing evaluation benchmarks.

Skydio is seeking a PhD Autonomy Engineer Intern to architect and implement computer vision algorithms for autonomous drones. The role involves research, prototyping, and assessing new approaches to enhance autonomous capabilities, with a focus on shipping these advancements into real products.

Skydio is seeking interns to work on computer vision and deep learning algorithms for autonomous flight in drones. The role involves researching, prototyping, and implementing new features that advance drone capabilities and integrate them into real products. This position focuses on the application of AI/ML to robotics and autonomous systems.

This role focuses on building and scaling the deep learning infrastructure for autonomous flight systems, specifically optimizing inference for computer vision workloads, managing MLOps pipelines, and implementing GPU kernels for custom architectures. It involves working with training or runtime frameworks and model efficiency tools to improve system performance and power efficiency.

The role focuses on building and scaling infrastructure for deep learning and AI efforts, specifically for high-performance inference of computer vision workloads on various hardware platforms. It involves profiling, optimizing, and deploying models, as well as creating MLOps workflows and potentially implementing GPU kernels. The goal is to accelerate progress in intelligent mobile robots by leveraging visual data for semantic and geometric understanding.

Skydio is seeking an Autonomy Software Engineer to enhance their autonomous flight system for drones. The role involves developing and deploying new autonomous capabilities end-to-end, improving system reliability, and expanding operational envelopes in challenging environments. This includes working on core robotics algorithms, computer vision, state estimation, motion planning, and controls, with a focus on production-level code in C++ and Python.

The role focuses on building and scaling the infrastructure for Skydio's Deep Learning (DL) and AI efforts, specifically for computer vision (CV) workloads. This includes developing high-performance inference solutions, profiling models, designing MLOps workflows, improving training efficiency, implementing GPU kernels, and creating SDKs for autonomous workflows. The role operates at the intersection of autonomy, embedded, and cloud teams, emphasizing ML inference acceleration, optimization, and edge deployment.

The Autonomy Engineer - Deep Learning Model Acceleration role at Skydio focuses on building and scaling infrastructure for AI/ML efforts, specifically optimizing deep learning inference for computer vision workloads on various hardware platforms. This involves profiling models, designing MLOps workflows, improving training efficiency, implementing GPU kernels, and creating SDKs for autonomous workflows, with a strong emphasis on edge deployment and performance optimization.

Senior Autonomy Engineer focused on controls algorithms for autonomous drones, involving low-level stabilization, control, and high-level task-specific frameworks. Requires experience in robotics, modern/classical control design, C++, dynamic programming, and non-linear optimization.

Skydio is seeking interns to contribute to the development of next-generation autonomy algorithms for their autonomous flight systems. The role involves researching, prototyping, and implementing new features, as well as characterizing system performance.

Engineering Manager for Skydio's autonomy team, focusing on scaling the team and delivering autonomous flight technology for drones. Responsibilities include managing product roadmap execution, hiring, mentoring, and driving infrastructure investments across core drone platforms, SW architecture, simulation, SDK, object detection, map infrastructure, situational awareness, computational photography, and state estimation.